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Lead Data Engineer

Early Applicant
  • Posted a month ago
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Job Description

Key Responsibilities

  • Lead the design, architecture, and implementation of Snowflake-based data solutions.
  • Conduct assessment of existing data platforms (e.g., legacy data warehouses, ETL pipelines) and define the modernization strategy.
  • Define migration roadmaps and ensure smooth transition from legacy systems to Snowflake.
  • Build robust designs, architectural patterns using Snowflake and cloud platforms in alignment with target state expectations.
  • Provide architectural guidance, best practices, and technical leadership across teams.
  • Collaborate with stakeholders to gather business and technical requirements.
  • Design secure, scalable, and performance-optimized data models in Snowflake.
  • Establish data governance, access control, and data sharing strategies using Snowflake features.
  • Monitor system performance and lead efforts for tuning and optimization.
  • Stay up to date on Snowflake features and recommend improvements or adoption of new capabilities.
  • Mentor developers, analysts, and engineers in Snowflake development and migration techniques.

Required Qualifications

  • 10+ years of experience in data architecture, data engineering, or similar roles.
  • Hands-on experience with Snowflake, including data modeling, performance tuning, and advanced features
  • Strong understanding of cloud platforms (AWS/Azure) and integrating Snowflake within them.
  • Proven experience with end-to-end data warehouse modernization or migration projects.
  • Expertise in SQL, ELT/ETL frameworks, and integration tools
  • Solid understanding of data security, governance, and compliance.
  • Excellent communication and stakeholder management skills.

Preferred Qualifications

  • Experience designing and/ or implementing Data Engineering solution in Real Estate domain would be preferred

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About Company

Job ID: 146103493

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